Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

kenken vs Kazuya 489–543 47.38%
kenken vs Bryan 406–468 46.45%
kenken vs Paul 355–502 41.42%
kenken vs Dragunov 320–471 40.46%
kenken vs Reina 381–399 48.85%
kenken vs King 331–432 43.38%
kenken vs Jin 337–396–1 45.98%
kenken vs Hwoarang 335–389 46.27%
kenken vs Fahkumram 251–377 39.97%
kenken vs Asuka 299–328 47.69%
kenken vs Law 241–301–1 44.46%
kenken vs Heihachi 242–291 45.40%
kenken vs Lili 211–262 44.61%
kenken vs Armor King 190–265 41.76%
kenken vs Clive 186–255 42.18%
kenken vs Steve 208–218 48.83%
kenken vs Yoshimitsu 181–225 44.58%
kenken vs Jun 162–238 40.50%
kenken vs Azucena 159–217 42.29%
kenken vs Devil Jin 166–207 44.50%
kenken vs Lee 161–209 43.51%
kenken vs Victor 165–202 44.96%
kenken vs Xiaoyu 175–184 48.75%
kenken vs Claudio 141–197 41.72%
kenken vs Lars 148–186 44.31%
kenken vs Nina 149–180 45.29%
kenken vs Feng 124–196 38.75%
kenken vs Lidia 165–139 54.28%
kenken vs Anna 139–160 46.49%
kenken vs Alisa 104–174 37.41%
kenken vs Leo 124–143 46.44%
kenken vs Miary Zo 121–138 46.72%
kenken vs Eddy 97–140 40.93%
kenken vs Jack-8 90–143 38.63%
kenken vs Leroy 85–148 36.48%
kenken vs Shaheen 78–99 44.07%
kenken vs Kuma 46–83 35.66%
kenken vs Raven 57–72 44.19%
kenken vs Zafina 51–74 40.80%
kenken vs Panda 25–46 35.21%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.